Search Results for author: Charline Le Lan

Found 4 papers, 3 papers with code

Metrics and continuity in reinforcement learning

1 code implementation2 Feb 2021 Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

In most practical applications of reinforcement learning, it is untenable to maintain direct estimates for individual states; in continuous-state systems, it is impossible.

LieTransformer: Equivariant self-attention for Lie Groups

1 code implementation20 Dec 2020 Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim

Group equivariant neural networks are used as building blocks of group invariant neural networks, which have been shown to improve generalisation performance and data efficiency through principled parameter sharing.

Perfect density models cannot guarantee anomaly detection

no code implementations7 Dec 2020 Charline Le Lan, Laurent Dinh

Thanks to the tractability of their likelihood, some deep generative models show promise for seemingly straightforward but important applications like anomaly detection, uncertainty estimation, and active learning.

Active Learning Anomaly Detection +1

Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders

3 code implementations NeurIPS 2019 Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh

We therefore endow VAEs with a Poincar\'e ball model of hyperbolic geometry as a latent space and rigorously derive the necessary methods to work with two main Gaussian generalisations on that space.

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